Overview
This training covers the foundations of artificial intelligence and machine learning, with special focus on deep learning. Best practices in managing deep learning projects will be shared. Hands-on labs in Python, TensorFlow and Keras will be provided to deepen student understanding.
Outline
Module 1: Deep Learning Introduction
• Terminology
• AI topics and techniques
• Current use of AI
• New frontiers of AI
• Supervised learning
• Unsupervised learning
• Reinforcement learning
Module 2: Artificial Neural Network
• Artificial neuron
• Activation function
• Forward pass and backward pass
• Loss function and gradient descent
• Fully connected neural network
• Convolutional neural network
• Recurrent neural network
• Training and inference
Module 3: Deep Learning Programming Overview
• Python
• NumPy
• Pandas
• TensorFlow
• Keras
Module 4: Pre-trained Models
• Image classification
• Object detection
• Word embedding
Module 5: Regularization
• Underfitting and overfitting
• Bias-variance tradeoff
• Dataset augmentation
• Early stopping
• L1 and L2 regularization
• Dropout
• Adversarial training
• Ensemble method
Module 6: Optimization and Tuning
• Learning rate
• Momentum
• Optimization algorithm
• Parameter initialization strategy
• Data normalization
• Batch normalization
• Hyperparameter tuning strategy
• Hardware acceleration
• HPE Deep Learning Cookbook
Module 7: Deep Learning Project Management
• Deep learning project management
• Data acquisition
• Data preprocessing
• Data labelling
• Baselining
• Data augmentation
• Transfer learning
• Performance measurement
• Ensemble method
Module 8: AI in Law and Ethics
• AI in law
• All in ethics
Module 9: Capstone Project
• Apply deep learning to a real-life use case
Frequently asked questions
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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
Learn more about our Virtual Classrooms.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
Learn more about QA’s online courses.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.